Associate Data Scientist


Job title: Associate Data Scientist

Company: Manulife

Job description: The OpportunityManulife’s bold ambition is to become a digital, customer leader. As part of this ambition, we have made a significant investment in Advanced Analytics and AI capabilities. The goal of the Group Advanced Analytics & AI team is to research, build, and deliver innovative capabilities to better support our external customers as well as provide actionable insights to our internal corporate partners.As an Associate Data Scientist, you will play a key role in achieving this ambitious mission. The successful candidate will bring their strong communication skills, innovation, an attitude for critical thinking, strategic and functional expertise, demonstrated through data management and analytics to drive success across multiple corporate functions such as Digital Marketing, Human Resources, Procurement, Corporate Real Estate, IT Operations and Strategic Portfolio Optimization.Responsibilities

  • Develop and manage AI and Analytics driven projects that span the breadth of Group Functions (Corporate Functions) with high impact on expense efficiency, operational insights, workforce retention, business profitability, client retention and customer satisfaction
  • Consult with internal business leaders and bring analytics driven insights to solve business challenges
  • Develop and implement analytics enabled solutions to improve customer experience, drive customer engagement, and increase customer value.
  • Work with Group Functions’ Business Stakeholders, Business Operations and IT teams to bring your ideas to production and bring real change in customer experience
  • Review and analyze existing processes to identify customer opportunities. Work with large amounts of call center, web and other data sources to build multidisciplinary view of customer journey
  • Innovate and find creative ways to source customer data to support modeling efforts, applying structured and unstructured data using Big Data technologies and NLP
  • Calculate model impact/return on investment and communicate value analysis to partners
  • Peer review other Data Scientists’ work and participate in model and code reviews

What motivates you?

  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

  • Master’s or Ph.D. in a quantitative field (Business Statistics, Applied Mathematics, Computer Science, etc.).
  • Experience in developing probabilistic models, data mining, and machine learning algorithms, including real world experience of applying analytics models and techniques in the marketing and customer value management area.
  • Proficiency in languages used for querying, data processing, statistical analysis, model building, and monitoring, including Python, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
  • Strong understanding of the foundation of machine learning algorithms and statistical methods, including bagging, boosting, neural network, etc.
  • Comfort with visual art and design to turn statistical and computational analysis into user-friendly graphs, charts, and animations. Create insightful data visualizations (e.g., motion charts, word maps) that highlight trends.
  • Preferably knowledge of the insurance industry and exposure to sales/marketing domains.
  • Passionate about continuously learning in the ever-evolving ML domain and exploring new methodologies to solve business problems.
  • Knowledge of professional software engineering practices & standard methodologies for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
  • Adaptable and open to change.

What can we offer you?

  • A competitive salary and benefits packages.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong work-life balance.
  • Professional development and leadership opportunities.

Our commitment to you

  • Values-first culture: We lead with our Values every day and bring them to life together.
  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
  • Continuous innovation: We invite you to help redefine the future of financial services.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

#LI-HybridAbout Manulife and John HancockManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .Manulife is an Equal Opportunity EmployerAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .Primary Location Toronto, OntarioWorking ArrangementHybridSalary range is expected to be between $59,570.00 CAD – $110,630.00 CADIf you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.

Expected salary:

Location: Toronto, ON

Job date: Wed, 11 Sep 2024 23:22:32 GMT

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